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algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing
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the positioning and routing phases of nanoelectronic components. Functions to be developed: Assist in the study and implementation of mathematical and combinatorial optimization techniques. Cooperate in
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combinatorial optimization problems arising in logistics, transportation, and energy systems. Hyperheuristics combine learning mechanisms with low-level heuristics to construct high-quality solutions across
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lets the market determine both the bundle compositions and price through a combinatorial auction, revealing demand-driven value. This part focuses on operations research as main tool, where efficient
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
for final-year Master’s students or engineering school students with an interest in combinatorial optimization, constraint programming, and stochastic heuristics. The project will be carried out within
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CNS barriers and optimizing nanoparticle formulations for neurological disorders. Minimum Education and Experience - Master’s degree in field directly related to research – Two (2) years of experience
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Computational Mathematics, Number Theory, Combinatorial Matrix Theory, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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in quantum methods for bioinformatics. Topics may include, but are not limited to, solving hard combinatorial optimization problems with quantum methods, quantum-based data structures (e.g. in
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
to the rapid exploration of novel materials chemistries—such as compositionally complex energy materials—using high-throughput, combinatorial synthesis strategies. The position involves working